SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Cognition AI is building end-to-end software agents, starting with Devin, the first AI software engineer. The company was founded in 2023 and is based in San Francisco with a founding team of world-class competitive programmers, former founders, and leaders from companies including Scale AI, Palantir, Cursor, Waymo, Tesla, Google DeepMind, and others.
You will own the strategy and execution of Cognition's paid demand engine, responsible for reaching engineers, technical leaders, and enterprise buyers. This role goes well beyond managing ad platforms—you'll determine investment strategy, target audiences, messaging, and how to convert attention into qualified enterprise pipeline.
Key responsibilities include:
**Build Cognition's Paid Demand Engine**: Own paid acquisition and distribution strategy focused on generating qualified enterprise pipeline. Determine channel mix, investment strategy, audiences, offers, and campaign architecture. Build systems, processes, and measurement frameworks to scale paid investment significantly. Partner with sales, operations, and sales enablement to ensure lead quality.
**Own Paid Media**: Manage strategy and execution across paid search, LinkedIn, YouTube, Reddit, Meta, X, and other platforms. Build sophisticated audience and account strategies around enterprise segments, personas, and buying stages. Optimize campaigns based on pipeline quality and downstream business outcomes rather than vanity metrics. Maintain deep platform expertise and stay close to execution.
**Expand Beyond Traditional Advertising**: Identify and test new channels where technical and enterprise audiences spend attention. Build partnerships with newsletters, technical publications, developer communities, podcasts, creators, and influencers. Develop a repeatable process for finding, testing, measuring, and scaling new demand sources.
**Build High-Velocity Experimentation**: Run continuous experiments across channel, audience, message, creative, offer, format, and landing experience. Develop clear hypotheses and success criteria. Test fundamentally different approaches, not just optimizations. Scale what works and shut down what doesn't. Track investment impact throughout the sales journey.
**Build Creative Testing System**: Develop systematic paid creative experimentation. Identify which messages, narratives, proof, and formats resonate with different audiences. Partner with Product Marketing and Design. Test across video, static, product-led creative, customer proof, technical content, and emerging formats.
**Develop Offers That Create Demand**: Partner with Web/CRO, Product Marketing, and Demand Gen to determine what to put behind paid distribution. Test different offers across enterprise buying journey stages. Match the right offer to the right audience.
**Optimize for Enterprise Pipeline**: Measure success based on qualified enterprise pipeline and downstream business impact. Partner with RevOps to understand performance from impression through pipeline. Develop frameworks for CAC, pipeline efficiency, marginal spend, and incrementality.
**Work AI-Natively**: Use AI aggressively across research, audience development, campaign creation, creative iteration, analysis, and optimization. Build workflows for exceptional speed and leverage. Experiment with emerging AI-native advertising and distribution channels.
Success means paid becomes a predictable, scalable source of qualified enterprise pipeline; clear understanding of which channels, audiences, messages, offers, and creative combinations work best; consistent discovery of new distribution channels; increasing experimentation velocity; continuously refreshed creative; material budget scaling without sacrificing efficiency; and confident allocation of incremental spend.
**Requirements**:
- 8+ years of experience in paid acquisition, growth marketing, digital marketing, or demand generation, ideally in high-growth B2B technology
- Experience managing and scaling significant paid media budgets
- Deep hands-on expertise across major advertising platforms, particularly paid search and LinkedIn
- Strong understanding of enterprise B2B buying journeys and account-based marketing
- Experience testing channels beyond traditional paid media
- Strong creative instincts and experience building systematic creative testing programs
- Exceptional analytical ability connecting media performance to pipeline and revenue
- Comfortable owning both strategy and execution
- Experience working closely with Product Marketing, Design, Web/Growth, RevOps, and Sales
- Strong commercial judgment distinguishing meaningful business outcomes from attractive marketing metrics
- Highly hands-on—comfortable with ad accounts, campaign performance analysis, briefs, media evaluation, testing, and decision-making
- Excited about AI and interested in using it to transform performance marketing
About Cognition AI
AI / Data / Infrastructure — AI software engineering agents and developer automation.
